Publications Scientifiques

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Author: search.filters.author.Boulif, MenouarSubject: search.filters.subject.Wireless sensor networks

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    Sensor performance evaluation for Long-Lasting EH-WSNs by GSPN formulation, considering seasonal sunshine levels and dual standby strategy
    (Springer, 2023) Oukas, Nourredine; Boulif, Menouar
    In this paper, we propose a generalized stochastic Petri net (GSPN) to model the sensor node (SN) interaction in solar energy harvesting wireless sensor networks. Our GSPN formulation models the energy stored in the SN battery by using the quantization principle. Furthermore, it considers that the sensors’ deployment territory is subject to different sunshine levels. In addition, each SN adopts the double sleeping strategy to cope with solar energy shortage in the nighttime. We conduct a comparative analysis between the proposed model and three others taken from the literature to identify which is best suited to predicting the input parameters that extend the network lifetime to fulfill its long-lasting duty with decent performances
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    A new petri nets for wsns to model the behaviour of solar-energy harvesting sensors with double sleeping strategy
    (IEEE, 2022) Oukas, Nourredine; Boulif, Menouar; Hadiouche, Hadda; Bengharabi, Chaima
    This paper introduces a new Generalized Stochastic Petri Nets modelling for sensor nodes (SNs) in wireless sensor networks (WSNs). All SNs are equipped with a solar Energy Harvesting (EH) system. Because there is no solar energy source at night, this formulation considers the case where SNs are intelligently configured to use a double sleeping strategy to get a trade-off between energy conservation and good performances. To achieve this aim, the SN joins the standby state most of the time in the night. In the day, the SN awakes most of the time to get good performances thanks to EH. From the proposed modelling, we derive performance formulas that allow determining the most suitable compromise between energy consumption reduction and rapidity of service
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    A new stochastic petri nets modeling for dual cluster heads configuration in Energy-Harvesting WSNs
    (IEEE, 2021) Oukas, Nourredine; Boulif, Menouar
    This paper proposes a new Stochastic Petri Nets modeling to describe the route taken by the packets to reach the base station from any sensor node in wireless sensor networks. This formulation examines the case where the network is structured into clusters. Each cluster contains two leaders: A Cluster Head and a Collector that cooperate to route the packets from the source to the endpoint. This configuration aims to conserve energy by balancing it through the network. Furthermore, given that a sensor node consumes the majority of its power in the communication process that is affected by the distance of the recipient, this formulation associates data gathering and data processing to the Collector whereas it associates the far sending task to the cluster head. From the proposed formulation, we derive performance formulas and we conduct some experimental analysis that allows to determine the most suitable compromise between energy consumption reduction and longevity of service